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Stephenson assessing in-home HIV testing and counseling for male couples

Thompson says mass incarceration causes collapse of Detroit neighborhoods

Liberal-conservative gap by education level growing in U.S.

Highlights

Maggie Levenstein named director of ISR's Inter-university Consortium for Political and Social Research

Arline Geronimus receives 2016 Harold R. Johnson Diversity Service Award

PSC spring 2016 newsletter: Kristin Seefeldt, Brady West, newly funded projects, ISR Runs for Bob, and more

AAUP reports on faculty compensation by category, affiliation, and academic rank

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Matthew D. Shapiro

Shapiro comments of the value of Twitter data for gauging unemployment

a PSC In The News reference, 2014

"The weird Google searches of the unemployed and what they say about the economy" - Washington Post. 05/30/2014.

This story looks at how researchers are using big data — culled from internet browsing histories and social media use — to predict unemployment rates, retail prices, home buying, and more, often before the U.S. releases its official estimates. Matthew Shapiro says: “Statistics serve us really well and are completely essential as benchmarks for where the economy is — or more precisely, has been. But we don’t have a lot of indicators that tell us what’s happening right now, particularly when the economy is changing direction.”

Researcher:

Matthew D. Shapiro

More Media Coverage:

The Guardian. What search engines tell governments about the economic here and now. 6/14/2014.

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